# @woyax/mcp-chestnyi-znak

> @woyax/mcp-chestnyi-znak — woyaxnini-mcp-chestnyi-znak. Use this tool when you need to integrate Russia's Chestnyi Znak product labelling system into your AI workflow, enabling queries on marking codes, documents, and participant data through natural language inputs, and receiving relevant outputs to inform decision-making. It solves problems related to product authentication, supply chain tracking, and compliance verification. Ideal for use cases involving Russian market product verification and tracking, where natural language querying is preferred.

Canonical page: https://skillsregistry.net/skills/woyaxnini-mcp-chestnyi-znak  
JSON: https://api.skillsregistry.net/v1/skills/woyaxnini-mcp-chestnyi-znak

## Description

MCP server for Russia's Chestnyi Znak product labelling system, allowing AI assistants to query marking codes, documents, warehouse balances, and participant data via natural language.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** data-analytics
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/gsuvyf514m)
- **Repository:** <https://github.com/woyaxnini/mcp-chestnyi-znak>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "woyaxnini-mcp-chestnyi-znak"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/woyaxnini-mcp-chestnyi-znak` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/woyaxnini-mcp-chestnyi-znak/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt